IEEE-EMBS Asia-Pacific Conference on Biomedical Engineering, Hangzhou, China, 26 - 28 September 2000, pp.242-243
Classification of the biomedical images has considerable diagnostic significance in medicine. It is important to classify and display tissues in biomedical images fast and automatically. In this study, an artificial neural network trained by genetic algorithms (NetGA) is proposed for magnetic resonance (MR) image classification.